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    JMLR
    2010
    114views more  JMLR 2010»
    Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
    13 years 2 months ago
    Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
    Download  people.ee.duke.edu
    Ryo Yoshida, Mike West
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    ICML
    2006
    IEEE
    161views Machine Learning» more  ICML 2006»
    Bayesian regression with input noise for high dimensional data
    14 years 8 months ago
    Bayesian regression with input noise for high dimensional data
    Download  www-clmc.usc.edu
    This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
    Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
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    ICML
    2009
    IEEE
    188views Machine Learning» more  ICML 2009»
    Convex variational Bayesian inference for large scale generalized linear models
    14 years 8 months ago
    Convex variational Bayesian inference for large scale generalized linear models
    Download  www.kyb.tuebingen.mpg.de
    We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
    Hannes Nickisch, Matthias W. Seeger
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    ICIP
    2007
    IEEE
    165views Image Processing» more  ICIP 2007»
    Unsupervised Nonlinear Manifold Learning
    13 years 11 months ago
    Unsupervised Nonlinear Manifold Learning
    Download  ftp-developpez.com
    This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
    Matthieu Brucher, Christian Heinrich, Fabrice Heit...
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    ICCV
    2009
    IEEE
    294views Computer Vision» more  ICCV 2009»
    Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
    13 years 5 months ago
    Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
    Download  vision.ece.ucsb.edu
    We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
    Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
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